Literature DB >> 30076320

Thymoquinone synergizes gemcitabine anti-breast cancer activity via modulating its apoptotic and autophagic activities.

Hanan A Bashmail1, Aliaa A Alamoudi1,2, Abdulwahab Noorwali1,2, Gehan A Hegazy1,3, Ghada AJabnoor1, Hani Choudhry4, Ahmed M Al-Abd5,6,7.   

Abstract

The use of anti-cancer adjuvant therapy is rationalized by potentiating the efficacy, and/or protecting from major side effects of chemotherapeutics. Thymoquinone (TQ) is a naturally occurring compound with cumulative evidence of anti-cancer properties. In this study, we assessed the chemomodulatory potential of TQ to gemcitabine (GCB) against human breast adenocarcinoma (MCF-7), and ductal carcinoma (T47D) cells. TQ showed cytotoxic effects against MCF-7 and T47D with IC50's of 64.9 ± 14 µM and 165 ± 2 µM, respectively. The IC50's of GCB against MCF-7 and T47D were 0.9 ± 0.18 µM and 14.3 ± 2.8 µM and were significantly reduced after combination with TQ to 0.058 ± 12 µM and 2.3 ± 0.2 µM, respectively. The CI- values were indicative of synergism in MCF-7 and T47D cells (0.15 and 0.30, respectively). Further investigation showed that GCB caused significant anti-proliferative effect reflected by increasing cell population in S-phase in both cell lines. TQ potentiated GCB-induced anti-proliferative activity in both cell lines. GCB induced considerable apoptosis in T47D cell line, and TQ significantly increased GCB-induced apoptotic effects by 1.5 to 3.6 folds. Interestingly, GCB, TQ and their combination induced significant autophagic cell death in the apoptosis defected MCF-7 cells. In addition, TQ, GCB and their combination depleted breast cancer associated stem cell (CD44(+)/CD24(-)/(low)) clone within MCF-7 and T47D cells by 3.8% to 27.5%. In conclusion, TQ showed promising chemomodulatory effects to GCB against breast cancer cells via inducing apoptosis, necrosis and autophagy, in addition to depleting tumor associated resistant stem cell fraction.

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Year:  2018        PMID: 30076320      PMCID: PMC6076303          DOI: 10.1038/s41598-018-30046-z

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


Introduction

Cancer is a global health problem which is increasing with population growth, aging, and inappropriate lifestyle[1]. Breast cancer is the most common type of cancer in females and there are over one million newly diagnosed breast cancer cases, and 502,000 breast cancer related deaths per year[2]. Breast cancer tissue is made up of different cell types expressing different cell surface markers, with different microscopic appearances and growth rates[3]. Breast cancer stem cells (BCSC) are depot cell clone characterized by indefinite self-renewal ability, and high resistance to chemotherapy[4]. Various breast cancer treatment options such as; surgery, radiation, chemotherapy, hormonal and targeted therapy are currently in clinical practice[5]. However, targeting and depleting the intratumoral associated cancer stem cells remain to be clinical as well as scientific challenge. Gemcitabine (GCB) is a nucleoside analog chemotherapy which is widely used for different types of neoplasia and was clinically approved for the treatment of metastatic breast cancer since 2004[6]. It requires triphosphate activation to get incorporated into DNA double helix resulting in inhibition of DNA synthesis[7]. Despite the widespread use of GCB, it suffers from many drawbacks such as; lack of selectivity, exaggerated normal tissue toxicity, and most importantly emergence of tumor resistance[6,8]. Resistance to GCB treatment might appear in the form of tumor relapse/recurrence and remote organ metastasis[9]. Natural compounds and even crude medicinal plants are believed to be promising source of alternative anti-cancer remedy. They are well-known to suppress or block the carcinogenic processes[10]. Amongst, Nigella sativa is extensively studied for potential anticancer properties. It was even described as a miracle herb since many studies revealed its outstanding pharmacological potential[11]. Thymoquinone (TQ) is one of the major bioactive compounds isolated from Nigella sativa, it possesses anti-inflammation, anti-hypertensive, anti-oxidant, and anti-cancer effects[12,13]. Combination of natural compounds with conventional cancer chemotherapy showed promising outcomes and gained the attention of scientists worldwide due to enhancing the anti-cancer efficacy without increasing normal tissue toxicity[14] In our previous work, combination of TQ with cisplatin diminished the resistance fraction to cisplatin and improved its anticancer activity against head and neck cancer cells[15]. Yet, TQ might overcome resistance to GCB and would be a potential successful combination therapy for breast cancer. Therefore, the aim of the current work is to investigate the potential chemomodulatory effects of TQ to the cytotoxic profile of GCB against human breast cancer cell lines.

Results

TQ improves the cytotoxicity of GCB in breast cancer cell lines

To study the influence of TQ on the cytotoxic profile of GCB against breast cancer cells, dose response curves of GCB, TQ and their combination were conducted against MCF-7 and T47D cells (Table 1).
Table 1

Combination analysis for the cytotoxicity of TQ and GCB against MCF-7 and T47D breast cancer cell lines.

Exposure timeMCF-7T47D
24 hIC50 (µM)R-value (%)IC50 (µM)R-value (%)
GCB32.6 ± 3.62.7 ± 0.67.6 ± 0.76.5 ± 0.5
TQ80.1 ± 9.855.5 ± 1.2>100N/A
GCB + TQ3.4 ± 1.30.1 ± 0.030.3 ± 0.024.3 ± 0.2
CI-value Synergism/0.53Synergism/less than 0.34
48h
GCB32.2 ± 1.10.5 ± 0.16.4 ± 1.42.3 ± 0.5
TQ32.7 ± 1.11.2 ± 0.5104 ± 3.7N/A
GCB + TQ3.6 ± 0.70.9 ± 0.10.27 ± 0.071.8 ± 0.4
CI-value Synergism/0.22Synergism/0.1
72h
GCB0.9 ± 0.18014.3 ± 2.83.2 ± 4.5
TQ64.9 ± 14.51.6 ± 1.3165.1 ± 2.80. 1 ± 0.15
GCB + TQ0.06 ± 0.0102.3 ± 0.20
CI-value Synergism/0.15Synergism/0.25

Data is presented as mean ± SD; n = 3.

Combination analysis for the cytotoxicity of TQ and GCB against MCF-7 and T47D breast cancer cell lines. Data is presented as mean ± SD; n = 3. In MCF-7 cells, exposure to GCB for 24 h and 48 h did not induce considerable cytotoxicity (IC50’s were 32.6 ± 3.6 and 32.2 ± 1.1, respectively) (Fig. 1A and C). Further exposure of MCF-7 cells to GCB (72 h) exerted gradient cytotoxic activity with increasing concentration; viability started to drop significantly at concentration of 0.3 μM with IC50 of 0.9 ± 0.18 μM (Fig. 1E). TQ exerted weak cytotoxic profile against MCF-7 cells after treatment for 24 h, 48 and 72 h (IC50’s were 80.1 ± 9.8, 32.7 ± 1.1 and 64.9 ± 14.5, respectively). TQ-induced cytotoxic activity started after 10 μM concentration. Further exposure to higher concentration of TQ induced sudden viability drop at 100 μM (Fig. 1A,C and E). Equitoxic combination of TQ with GCB significantly improved the cytotoxic profile of GCB decreasing its IC50 by 9.5 to 15.5 folds (3.4 ± 1.3, 3.6 ± 0.7 and 0.06 ± 0.01 µM after 24 h, 48 h and 72 h exposure, respectively). The calculated CI- values ranged from 0.15 to 0.53, which are indicative of strong synergism at all exposure time points (Table 1).
Figure 1

The chemomodulatory effect of TQ on the cytotoxicity of GCB in MCF-7 (A,C and E) and T47D (B,D and F) breast cancer cell lines. Cells were exposed to serial dilution of GCB, TQ or their combination for 24 h (A and B), 48 h (C and D) 72 h (E and F). Cell viability was determined using SRB-assay and data are expressed as mean ± SD (n = 3).

The chemomodulatory effect of TQ on the cytotoxicity of GCB in MCF-7 (A,C and E) and T47D (B,D and F) breast cancer cell lines. Cells were exposed to serial dilution of GCB, TQ or their combination for 24 h (A and B), 48 h (C and D) 72 h (E and F). Cell viability was determined using SRB-assay and data are expressed as mean ± SD (n = 3). In T47D cell line, GCB exerted gradient cytotoxic activity with increasing concentration at all exposure time points; viability started to drop at concentrations equal to or higher than 1 μM with an IC50’s of 7.6 ± 0.7, 6.4 ± 1.4 and 14.3 ± 2.8 μM after 24 h, 48 h and 72 h, respectively. TQ treatment showed sudden cytotoxic effect at concentrations higher than 100 μM; IC50 of TQ was found to be higher than 100 μM at all exposure time points (Fig. 1B,D and F). Equitoxic combination of TQ with GCB significantly improved the cytotoxic profile of GCB, inducing remarkable decrease in its IC50 by 6.2 to 25 folds (0.3 ± 0.02, 0.27 ± 0.07 and 2.3 ± 0.2 µM). Combination analysis revealed a strong synergism between GCB and TQ with CI-values ranging from 0.1 to 0.34 (Table 1).

Effect of GCB, TQ and their combination on cell cycle distribution of breast cancer cells

To assess the influence of GCB, TQ and their combination on the cell cycle distribution of breast cancer cells, MCF-7 and T47D cells were treated with the pre-determined IC50’s of treatments under investigation for 24 and 48 h, and assessed for DNA content using flow cytometry. In MCF-7, TQ alone did not induce any significant change in all cell cycle phases. However, GCB caused significant anti-proliferative effect manifested by increasing the cell population at G0/G1 phase after 24 h from 38.1 ± 3% to 67.7 ± 1.2% (Supp. Table 1). Further exposure (48 h) of MCF-7 to GCB induced significant S-phase arrest increasing its cell population from 38.0 ± 1.9% to 50.4 ± 3.2%. Combining TQ with GCB did not further increase GCB-induced antiproliferative effects either in G0/G1-phase or S-phase (Fig. 2A,B,D,E). After 24 h, GCB alone or GCB in combination with TQ induced significant increase in pre-G cell population from 4.7 ± 1.5% to 8.8 ± 0.6% and 7.2 ± 1.2%, respectively. Longer exposure (48 h) of MCF-7 cells to GCB significantly induced more cell death manifested by 23.1 ± 3.4% of cells in the pre-G phase compared to untreated cells (2.5 ± 0.6%). Further exposure of MCF-7 cells to combination of GCB with TQ for 48 h resulted in significantly higher cell death; pre-G cell population increased to 49.3 ± 4.2% compared to GCB treatment alone (Fig. 2C,F) and (Supp. Table 2).
Figure 2

Effect of GCB, TQ and their combination on the cell cycle distribution of MCF-7 cells. Cells were exposed to GCB, TQ or their combination for 24 h (A–C) or 48 h (D–F). Cell cycle distribution was determined using DNA cytometry analysis and different cell phases were plotted (B,E) as percentage of total events. Sub-G cell population was plotted as percent of total events (C,F). Data is presented as mean ± SD; n = 3. *Significantly different from control group. **Significantly different from GCB treatment.

Effect of GCB, TQ and their combination on the cell cycle distribution of MCF-7 cells. Cells were exposed to GCB, TQ or their combination for 24 h (A–C) or 48 h (D–F). Cell cycle distribution was determined using DNA cytometry analysis and different cell phases were plotted (B,E) as percentage of total events. Sub-G cell population was plotted as percent of total events (C,F). Data is presented as mean ± SD; n = 3. *Significantly different from control group. **Significantly different from GCB treatment. In T47D, TQ alone did not cause any significant change in cell cycle distribution after 24 h. However, it induced cell cycle arrest at S-phase after 48 h; cell population within S-phase was increased from 29.1 ± 1.7% to 38.4 ± 0.2%. In addition, GCB induced significant anti-proliferative effect manifested by increasing cells at G0/G1 phase after 24 h from 53.2 ± 0.6% to 60.5 ± 1.8%. After 48 h, GCB induced significant S-phase arrest increasing its cell population from 29.1 ± 2.7% to 36.5 ± 3.4%. The combination of TQ with GCB for 48 h increased GCB-induced antiproliferative effects manifested by increasing cells in S-phase from 44.3 ± 2.5% to 49.9 ± 1.3% (Fig. 3A,B,D,E) and (Supp. Table 3). After 24 h of treatment, TQ induced significant increase in the pre-G cell population from 8.5 ± 0.3% to 10.8 ± 0.2%. Further exposure (48 h) of T47D to TQ significantly induced more cell death manifested by increased pre-G phase cell population from 12.6 ± 1.4% to 67.6 ± 5.2%. Moreover, GCB alone or GCB in combination with TQ induced significant increase in pre-G cell population from 8.5 ± 0.3% to 28.9 ± 0.9% and 57.1 ± 4.4% after 24 h of treatment, respectively. Longer exposure (48 h) of T47D cells to GCB in combination with TQ resulted in significantly higher cell death compared to GCB treatment alone; cells in pre-G phase was increased from 15.1 ± 1.1% to 64.5 ± 1% (Fig. 3C,F) and (Supp. Table 4).
Figure 3

Effect of GCB, TQ and their combination on the cell cycle distribution of T47D cells. Cells were exposed to GCB, TQ or their combination for 24 h (A–C) or 48 h (D–F). Cell cycle distribution was determined using DNA cytometry analysis and different cell phases were plotted (B,E) as percentage of total events. Sub-G cell population was plotted as percent of total events (C,F). Data is presented as mean ± SD; n = 3. Data is presented as mean ± SD; n = 3. *Significantly different from control group. **Significantly different from GCB treatment.

Effect of GCB, TQ and their combination on the cell cycle distribution of T47D cells. Cells were exposed to GCB, TQ or their combination for 24 h (A–C) or 48 h (D–F). Cell cycle distribution was determined using DNA cytometry analysis and different cell phases were plotted (B,E) as percentage of total events. Sub-G cell population was plotted as percent of total events (C,F). Data is presented as mean ± SD; n = 3. Data is presented as mean ± SD; n = 3. *Significantly different from control group. **Significantly different from GCB treatment.

Assessment of apoptosis

To determine the mechanism of cell death (programmed or non-programmed) induced by TQ, GCB and their combination, cells were assessed using Annexin-V/FITC staining coupled with flowcytometry after exposure to the pre-determined IC50’s. TQ alone induced significant apoptosis after 24 and 48 h of exposure (22.4 ± 3.1% and 32.4 ± 2.7%, respectively) compared to control untreated cells (4.3 ± 0.4% and 1.9 ± 0.4%, respectively) (Fig. 4). After 24 h, GCB alone or GCB in combination with TQ induced significant apoptotic cell death (22.7 ± 0.9% and 80.9 ± 2.7%, respectively) (Fig. 4A). Prolonged exposure (48 h) of cells to GCB or GCB with TQ significantly induced apoptosis in 55.9 ± 4.7% and 82.5 ± 3.2 of treated cells, respectively (Fig. 4B). In addition, treatment with GCB or GCB combination with TQ for 24 h induced significant necrotic cell death compared to control cell (1.3 ± 0.1%, 4.9 ± 0.2% and 0.84 ± 0.1%, respectively) (Fig. 4A). Prolonged exposure of cells to single treatment of GCB or TQ induced cell necrosis 22.64 ± 0.09% and 4.01 ± 0.3%, respectively. However, TQ in combination with GCB induced necrosis in only 6.9 ± 1.1% of cells (Fig. 4B).
Figure 4

Apoptosis/necrosis assessment in T47D cells after exposure to GCB, TQ and their combination. Cells were exposed to GCB, TQ or their combination for 24 h (A) and 48 h (B). Cells were stained with annexin V-FITC/PI and different cell populations were plotted as percentage of total events. Data is presented as mean ± SD; n = 3. *Significantly different from control group. **Significantly different from GCB treatment.

Apoptosis/necrosis assessment in T47D cells after exposure to GCB, TQ and their combination. Cells were exposed to GCB, TQ or their combination for 24 h (A) and 48 h (B). Cells were stained with annexin V-FITC/PI and different cell populations were plotted as percentage of total events. Data is presented as mean ± SD; n = 3. *Significantly different from control group. **Significantly different from GCB treatment.

Assessment of autophagy

Other than apoptosis, programmed cell death via autophagy represents a big research controversy. Herein, we further investigated the effect of GCB, TQ and their combination on autophagy process within MCF-7 and T47D cells using Cyto-ID autophagy detection dye coupled with flowcytometry. In MCF-7, treatment with GCB or TQ alone increased autophagic cell death by 39.4% and 60.6%, respectively. Combination of TQ with GCB significantly increased autophagic cell death by 29.1% compared to control untreated cells (Fig. 5A).
Figure 5

Autophagic cell death assessment in MCF-7 (A) and T47D (B) cells after exposure to GCB, TQ and their combination. Cells were exposed to GCB, TQ or their combination for 24 h; and were stained with Cyto-ID autophagosome tracker. Net fluorescent intensity (NFI) were plotted and compared to basal fluorescence of control group. Data is presented as mean ± SD; n = 3. *Significantly different from control group. **Significantly different from GCB treatment.

Autophagic cell death assessment in MCF-7 (A) and T47D (B) cells after exposure to GCB, TQ and their combination. Cells were exposed to GCB, TQ or their combination for 24 h; and were stained with Cyto-ID autophagosome tracker. Net fluorescent intensity (NFI) were plotted and compared to basal fluorescence of control group. Data is presented as mean ± SD; n = 3. *Significantly different from control group. **Significantly different from GCB treatment. Unlike MCF-7 cells, TQ alone did not induce any significant change in autophagic cell death in T47D cells. Furthermore, GCB and combination of GCB with TQ significantly decreased autophagic cell death by 54.1% and 52.2%, respectively (Fig. 5B).

Stem cell detection

The effect of GCB, TQ and their combination against tumor associated stem cell clone (CD44+/CD24−) was assessed using flow cytometry. In MCF-7, TQ alone significantly decreased CD44+/CD24− cell clone by 12.4%. However, GCB did not change the percent of CD44+/CD24− cell clone. In addition, combination of GCB with TQ significantly decreased CD44+/CD24− cells by 27.5% (Fig. 6A and B).
Figure 6

Effect of GCB, TQ and their combination on the expression of CD44 and CD24 stem cell markers. MCF-7 (A) and T47D (B) cells were exposed to GCB, TQ or their combination for 24 h. Expression levels of CD44 and CD24 were assessed using flow cytometry plotted as percentage of total events. Data is presented as mean ± SD; n = 3. *Significantly different from control group. **Significantly different from GCB treatment.

Effect of GCB, TQ and their combination on the expression of CD44 and CD24 stem cell markers. MCF-7 (A) and T47D (B) cells were exposed to GCB, TQ or their combination for 24 h. Expression levels of CD44 and CD24 were assessed using flow cytometry plotted as percentage of total events. Data is presented as mean ± SD; n = 3. *Significantly different from control group. **Significantly different from GCB treatment. Similarly, TQ alone significantly decreases T47D derived stem cell clone (CD44+/CD24−) by 19.9% while GCB caused a 3.9% decrease in T47D derived stem cells. Combination of GCB with TQ significantly decreased CD44+/CD24− cell clone by 17.7% (Fig. 6C and D).

Discussion

Breast cancer remains a significant health problem worldwide and is the most common cancer diagnosed in females as it increases morbidity and mortality rates[16]. Treatment options include surgery, hormonal therapy, radiotherapy, and chemotherapy[17]. GCB remains as one of the most common chemotherapeutic agents for the treatment of breast cancer[18]. Although GCB treatment cause initial responses, its long-term success may be discontinued because of the development of drug resistance and toxicities[9,19]. Recently, the combination of natural products with chemotherapies have attracted researchers’ attention as it was found to augment the effect of standard cancer chemotherapeutic drugs and/or protect from its side effects[20-22]. TQ is among the active components of Nigella sativa which is commonly used for several medicinal purposes[11,23]. Herein, we showed a strong synergism between GCB and TQ against breast adenocarcinoma (MCF-7), as well as breast ductal carcinoma (T47D) cells. It is also worth mentioning the weaker cytotoxic effect of GCB against breast cancer cells by longer exposure (72 h) might be attributed to its stability issues. GCB is unstable in serum condition and this is due to protein binding and enzyme dependent and independent degradation[24,25]. Moreover, GCB suffers from several physico-chemical stability issues in solutions[26]. Accordingly, further detailed assessment for GCB-induced influences to cell cycle, apoptosis and autophagy were carried out after treatment for 24 and 48 h. According to our observation, TQ alone showed significant but weak anti-proliferative effects in comparison to GCB. However, TQ enhanced the cytotoxic profile of GCB by 9–15 folds and 6–25 folds against MCF-7 and T47D, respectively. Several publications reported the significance of TQ alone as an anti-cancer agent in different types of cancer[27-29]. In addition, several studies including ours showed promising chemomodulatory effects of TQ to several chemotherapeutic agents against different types of cancer[15,30]. Earlier in 2014, Pandita and colleagues reported a synergistic interaction between TQ and GCB against pancreatic cancer cells. TQ down regulate Pyruvate kinase which is involved in a wide range of cancer cell metabolism[22]. Later on, Zhang and colleagues showed a chemosensetizing effect of TQ to cisplatin against colorectal cancer cells via inhibiting NF-κB signaling[31]. In the current work, we tried to further explain the synergistic interaction between GCB and TQ in breast cancer cells from the aspect of cell cycle interference. GCB slowed down the cell cycle progression in G0/G1 and S-phases in both cell lines which was also reported by previous studies[32]. The anti-proliferative effect of GCB alone or in combination with TQ was found to be stressful enough to induce cell death observed by increased Pre-G cell population. TQ alone did not induce any significant cell cycle interference; except delayed S-phase arrest after 48 h of exposure. However, TQ was found to potentiate the killing effect of GCB increasing the Pre-G cell population in both cell lines under investigation compared to GCB treatment alone. Previous studies for the influence of TQ to cell cycle progression denoted interference with different cell cycle phases such as G0/G1 and S-phases[33,34]. TQ-induced cell cycle arrest in S-phase was also stressful to T47D cells and induced elevated Pre-G cell population. The increased Pre-G cell population might not be specific enough to determine the exact cell death mechanism. Some studies referred TQ-induced anticancer effect to its ability to induce apoptosis via TGF-family, p53, p21, c-FLIP, Bax and Bcl-2 interference[35-37]. Furthermore, we examined apoptotic, necrotic and autophagic cell death induced by GCB, TQ and their combination. According to our observation, both TQ and GCB induced significant apoptosis in T47D by more than 4 folds after 24 h. Yet, the synergistic interaction between TQ and GCB against T47D cells could be clearly explained by the excessive increase of apoptotic cell fraction compared to single GCB or TQ treatments (2.5 fold higher apoptosis). Altered apoptosis is one of the important underlying reasons for GCB resistance among cancer cells[38,39]. Many altered pathways were suggested to be responsible for GCB-induced apoptosis resistance, such as Bcl-2[40]. It is worth mentioning that combination treatment induced significantly higher necrosis compared to GCB or TQ treatments alone which in turn might bypass apoptosis pathways altogether. In MCF-7 cells, apoptosis is not detectable due to lack of caspase-3 expression[41]. In such cases, alternative cell death pathways are mandatory. Autophagy is another suggested cell death pathway; however it possesses complicated roles and controversy in cancer cell death[42,43]. In MCF-7 cells, TQ induced significant autophagic cell death and this might be a pro-death mechanism due to defective apoptosis in this cell line[41,43]. It was reported for MCF-7 cells to undergo programmed cell death dominantly via autophagy[43]. In contrast to MCF-7, TQ did not exert any autophagic response in T47D. Furthermore, GCB and combination of GCB with TQ significantly decreased autophagic cell death. Yet, this might be explained by forced apoptosis induction in T47D cell after these treatments. In other words, autophagy is considered herein as an apoptosis escape shelter[43,44]. Besides the synergistic interaction between GCB and TQ against breast cancer cells, we studied the influence of these treatments against breast cancer associated stem cells (CD44+/CD24−)[45]. To the best of our knowledge, this is the first study demonstrating the effect of GCB and TQ against breast cancer stem cells. According to our observations, GCB alone minimally affected CD44+/CD24− cell clone only in MCF-7 cells. Yet, it was found that GCB treatment activates a group of developmental pathways known to be responsible for chemotherapeutic treatment resistance[9]. Interestingly, TQ significantly decreased CD44+/CD24− cell clone in both cell lines under investigation; and TQ combination with GCB further suppressed this stem cell clone in MCF-7 cells. In conclusion, TQ proved and is still proving to possess strong chemomodulatory potential to many chemotherapeutic agents such as GCB, against breast cancer cell lines. TQ induces cell death via apoptosis, necrosis and autophagy. In addition, TQ decreases tumor associated resistant stem cell fraction.

Materials and Methods

Chemicals and drugs

Thymoquinone (TQ), gemcitabine (GCB), sulpharodamine-B (SRB) were purchased from Sigma-Aldrich Chemical Co. (St. Louis, MO, USA). Media, fetal bovine serum (FBS) and other cell culture materials were purchased from Gibco™, Thermo Fisher Scientific (Grand Island, NY, USA).

Cell culture

Human breast cancer cell lines, MCF-7 and T47D, were obtained from the Vaccera (Giza, Egypt). Cells were maintained in DMEM media supplemented with streptomycin (100 μg/mL); penicillin (100 units/mL) and heat-inactivated fetal bovine serum (10% v/v) in a humidified, 5% (v/v) CO2 atmosphere at 37 °C.

Cytotoxicity assays

The cytotoxicity of TQ, GCB, and their combination were tested against MCF-7 and T47D cells by sulforhodamine B (SRB) assay. Exponentially growing cells were collected using 0.25% Trypsin-EDTA and seeded in 96-well plates at 1000–2000 cells/well. Cells were treated with serial concentration (0.01 to 300 µM) of TQ, GCB and their combination for 24, 48 and 72 h and subsequently fixed with trichloroacetic acid (TCA) (10% w/v) for 1 h at 4 °C. After several washings with double distilled water, cells were stained with SRB solution 0.4% (w/v) for 10 min in a dark place at room temperature and finally washed with 1% (v/v) acetic acid. After the plates became dry by overnight incubation, Tris-HCl (50 mM, pH 7.4) was used to dissolve the SRB-stained cells and color intensity was measured at 540 nm with ELISA microplate reader and calculated as percent viability of control cells (cells exposed to drug free media).

Data analysis

The dose response curves of drugs under investigation were analyzed using Emax model in the following formulawhere “R” is the residual unaffected fraction (the resistance fraction); “[D]” is the drug concentration used; “Kd” is the drug concentration that produces 50% reduction of the maximum inhibition rate and m is a Hill-type coefficient. “IC50” is defined as the drug concentration required to reduce absorbance to 50% of the control (i.e., Kd = IC50 when R = 0 and Emax = 100 − R). Combination index (CI) was calculated from the formula: The nature of drug interaction is defined as synergism if CI < 0.8; antagonism if CI > 1.2; and additive if CI ranges from 0.8–1.2.

Analysis of Cell Cycle Distribution

To assess the effect of the TQ, GCB and their combination on cell cycle distribution, MCF-7 and T47D cells were subjected to the pre-determined IC50’s of test drugs or drug free media for 24 and 48 h. After treatment, cells were collected by trypsinization and washed twice with ice-cold PBS and re-suspended in 0.5 mL of PBS. Two milliliters of 60% ice-cold ethanol were added gently while vortexing and cells were incubated at 4 °C for 1 h for fixation. Upon analysis, fixed cells were washed and re-suspended in 1 mL of PBS containing 50 µg/mL RNAase A and 10 µg/mL propidium iodide (PI). After 20 min of incubation in dark at 37 °C, cells were analyzed for DNA contents using flow cytometry analysis FL2 (λex/em 535/617 nm) signal detector (ACEA Novocyte™ flowcytometer, ACEA Biosciences Inc., San Diego, CA, USA). For each sample, 12,000 events were acquired. Cell cycle distribution was calculated using ACEA NovoExpress™ software (ACEA Biosciences Inc., San Diego, CA, USA).

Apoptosis assay

To elucidate the method of cell death by which breast cancer cells are killed in response to treatment with GCB, TQ and their combination, apoptosis and necrosis cell populations were determined using Annexin V-FITC apoptosis detection kit (Abcam Inc., Cambridge Science Park, Cambridge, UK). Briefly, the cells were exposed to the predetermined IC50’s of test drugs (single or combined treatments) or drug free media (control group) for 24 h and 48 h. Cells were harvested and washed twice with PBS, and incubated in dark with 0.5 ml of Annexin V-FITC/PI solution for 30 min in a dark place at room temperature according to manufacturer protocol. After staining,cells were injected via ACEA Novocyte™ flowcytometer (ACEA Biosciences Inc., San Diego, CA, USA) and analyzed for FITC and PI fluorescent signals using FL1 and FL2 signal detector, respectively (λex/em 488/530 nm for FITC and λex/em 535/617 nm for PI). For each sample, 12,000 events were acquired and positive FITC and/or PI cells were quantified by quadrant analysis and calculated using ACEA NovoExpress™ software (ACEA Biosciences Inc., San Diego, CA, USA).

Autophagy assay

To further elucidate the method of cell death by which breast cancer cells are killed in response to treatment with GCB, TQ and their combination, Autophagic cell death was quantitatively assessed using Cyto-ID Autophagy Detection Kit (Abcam Inc., Cambridge Science Park, Cambridge, UK). In brief, cells were exposed to the predetermined IC50’s of test compounds (single or combined treatments) for 24 h. Simultaneously, cells were exposed to 10 µM chloroquine (CQ) as a positive control (autophagy inducing agent), and drug free media (control group) for 24 h. After treatment, cells were collected and washed twice with PBS. Cells were stained with Cyto-ID Green and incubated in a dark place at 37 °C for 30 minutes according to manufacturer protocol. After staining, cells were injected via ACEA Novocyte™ flowcytometer (ACEA Biosciences Inc., San Diego, CA, USA) and analyzed for Cyto-ID differential green/orange fluorescent signals using FL1 and FL2 signal detector, respectively (λex/em 488/530 nm for FITC and λex/em 535/617 nm for PI). For each sample, 12,000 events were acquired and mean green fluorescent intensities (NFI) were quantified using ACEA NovoExpress™ software (ACEA Biosciences Inc., San Diego, CA, USA). The effects of TQ, GCB, and their combination against breast cancer associated stem cell clone (CD44+/CD24−) were assessed using flow cytometry coupled with FITC labeled anti-CD44 and APC/Cy7 labeled anti-CD24 antibodies (Abcam Inc., Cambridge Science Park, Cambridge, UK). Briefly, cells were treated for 24 h with the predetermined IC50’s of test compounds (single or combined treatments), and drug free media (control group). After treatment, cells were collected and washed with 10% FBS in ice cold PBS. Cells were incubated with the conjugated anti-CD44 and anti-CD24 antibodies in a dark place at room temperature. After staining, cells were washed three times with 10% FBS in ice cold PBS. Finally, cells were injected via ACEA Novocyte™ flowcytometer (ACEA Biosciences Inc., San Diego, CA, USA) and analyzed for FITC and APC/CY7 fluorescent signals using FL1 and FL2 signal detector, respectively (λex/em 488/530 nm for FITC and λex/em 535/617 nm for APC/CY7). For each sample, 12,000 events were acquired and positive FITC and/or APC/CY7 cells were quantified by quadrant analysis and calculated using ACEA NovoExpress™ software (ACEA Biosciences Inc., San Diego, CA, USA).

Statistical analysis

Data are presented as mean ± SD using Prism® for Windows, ver. 5.00 (GraphPad Software Inc., La Jolla, CA, USA). Analysis of variance (ANOVA) with LSD post hoc test was used for testing the significance using SPSS® for windows, version 17.0.0. p < 0.05 was taken as a cut off value for significance. Supplementary Information
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Nirmala Hariharan; Nigil Haroon; James Harris; Takafumi Hasegawa; Noor Hasima Nagoor; Jeffrey A Haspel; Volker Haucke; Wayne D Hawkins; Bruce A Hay; Cole M Haynes; Soren B Hayrabedyan; Thomas S Hays; Congcong He; Qin He; Rong-Rong He; You-Wen He; Yu-Ying He; Yasser Heakal; Alexander M Heberle; J Fielding Hejtmancik; Gudmundur Vignir Helgason; Vanessa Henkel; Marc Herb; Alexander Hergovich; Anna Herman-Antosiewicz; Agustín Hernández; Carlos Hernandez; Sergio Hernandez-Diaz; Virginia Hernandez-Gea; Amaury Herpin; Judit Herreros; Javier H Hervás; Daniel Hesselson; Claudio Hetz; Volker T Heussler; Yujiro Higuchi; Sabine Hilfiker; Joseph A Hill; William S Hlavacek; Emmanuel A Ho; Idy H T Ho; Philip Wing-Lok Ho; Shu-Leong Ho; Wan Yun Ho; G Aaron Hobbs; Mark Hochstrasser; Peter H M Hoet; Daniel Hofius; Paul Hofman; Annika Höhn; Carina I Holmberg; Jose R Hombrebueno; Chang-Won Hong Yi-Ren Hong; Lora V Hooper; Thorsten Hoppe; Rastislav Horos; Yujin Hoshida; I-Lun Hsin; Hsin-Yun Hsu; Bing Hu; Dong Hu; Li-Fang Hu; Ming Chang Hu; Ronggui Hu; Wei Hu; Yu-Chen Hu; Zhuo-Wei Hu; Fang Hua; Jinlian Hua; Yingqi Hua; Chongmin Huan; Canhua Huang; Chuanshu Huang; Chuanxin Huang; Chunling Huang; Haishan Huang; Kun Huang; Michael L H Huang; Rui Huang; Shan Huang; Tianzhi Huang; Xing Huang; Yuxiang Jack Huang; Tobias B Huber; Virginie Hubert; Christian A Hubner; Stephanie M Hughes; William E Hughes; Magali Humbert; Gerhard Hummer; James H Hurley; Sabah Hussain; Salik Hussain; Patrick J Hussey; Martina Hutabarat; Hui-Yun Hwang; Seungmin Hwang; Antonio Ieni; Fumiyo Ikeda; Yusuke Imagawa; Yuzuru Imai; Carol Imbriano; Masaya Imoto; Denise M Inman; Ken Inoki; Juan Iovanna; Renato V Iozzo; Giuseppe Ippolito; Javier E Irazoqui; Pablo Iribarren; Mohd Ishaq; Makoto Ishikawa; Nestor Ishimwe; Ciro Isidoro; Nahed Ismail; Shohreh Issazadeh-Navikas; Eisuke Itakura; Daisuke Ito; Davor Ivankovic; Saška Ivanova; Anand Krishnan V Iyer; José M Izquierdo; Masanori Izumi; Marja Jäättelä; Majid Sakhi Jabir; William T Jackson; Nadia Jacobo-Herrera; Anne-Claire Jacomin; Elise Jacquin; Pooja Jadiya; Hartmut Jaeschke; Chinnaswamy Jagannath; Arjen J Jakobi; Johan Jakobsson; Bassam Janji; Pidder Jansen-Dürr; Patric J Jansson; Jonathan Jantsch; Sławomir Januszewski; Alagie Jassey; Steve Jean; Hélène Jeltsch-David; Pavla Jendelova; Andreas Jenny; Thomas E Jensen; Niels Jessen; Jenna L Jewell; Jing Ji; Lijun Jia; Rui Jia; Liwen Jiang; Qing Jiang; Richeng Jiang; Teng Jiang; Xuejun Jiang; Yu Jiang; Maria Jimenez-Sanchez; Eun-Jung Jin; Fengyan Jin; Hongchuan Jin; Li Jin; Luqi Jin; Meiyan Jin; Si Jin; Eun-Kyeong Jo; Carine Joffre; Terje Johansen; Gail V W Johnson; Simon A Johnston; Eija Jokitalo; Mohit Kumar Jolly; Leo A B Joosten; Joaquin Jordan; Bertrand Joseph; Dianwen Ju; Jeong-Sun Ju; Jingfang Ju; Esmeralda Juárez; Delphine Judith; Gábor Juhász; Youngsoo Jun; Chang Hwa Jung; Sung-Chul Jung; Yong Keun Jung; Heinz Jungbluth; Johannes Jungverdorben; Steffen Just; Kai Kaarniranta; Allen Kaasik; Tomohiro Kabuta; Daniel Kaganovich; Alon Kahana; Renate Kain; Shinjo Kajimura; Maria Kalamvoki; Manjula Kalia; Danuta S Kalinowski; Nina Kaludercic; Ioanna Kalvari; Joanna Kaminska; Vitaliy O Kaminskyy; Hiromitsu Kanamori; Keizo Kanasaki; Chanhee Kang; Rui Kang; Sang Sun Kang; Senthilvelrajan Kaniyappan; Tomotake Kanki; Thirumala-Devi Kanneganti; Anumantha G Kanthasamy; Arthi Kanthasamy; Marc Kantorow; Orsolya Kapuy; Michalis V Karamouzis; Md Razaul Karim; Parimal Karmakar; Rajesh G Katare; Masaru Kato; Stefan H E Kaufmann; Anu Kauppinen; Gur P Kaushal; Susmita Kaushik; Kiyoshi Kawasaki; Kemal Kazan; Po-Yuan Ke; Damien J Keating; Ursula Keber; John H Kehrl; Kate E Keller; Christian W Keller; Jongsook Kim Kemper; Candia M Kenific; Oliver Kepp; Stephanie Kermorgant; Andreas Kern; Robin Ketteler; Tom G Keulers; Boris Khalfin; Hany Khalil; Bilon Khambu; Shahid Y Khan; Vinoth Kumar Megraj Khandelwal; Rekha Khandia; Widuri Kho; Noopur V Khobrekar; Sataree Khuansuwan; Mukhran Khundadze; Samuel A Killackey; Dasol Kim; Deok Ryong Kim; Do-Hyung Kim; Dong-Eun Kim; Eun Young Kim; Eun-Kyoung Kim; Hak-Rim Kim; Hee-Sik Kim; Jeong Hun Kim; Jin Kyung Kim; Jin-Hoi Kim; Joungmok Kim; Ju Hwan Kim; Keun Il Kim; Peter K Kim; Seong-Jun Kim; Scot R Kimball; Adi Kimchi; Alec C Kimmelman; Tomonori Kimura; Matthew A King; Kerri J Kinghorn; Conan G Kinsey; Vladimir Kirkin; Lorrie A Kirshenbaum; Sergey L Kiselev; Shuji Kishi; Katsuhiko Kitamoto; Yasushi Kitaoka; Kaio Kitazato; Richard N Kitsis; Josef T Kittler; Ole Kjaerulff; Peter S Klein; Thomas Klopstock; Jochen Klucken; Helene Knævelsrud; Roland L Knorr; Ben C B Ko; Fred Ko; Jiunn-Liang Ko; Hotaka Kobayashi; Satoru Kobayashi; Ina Koch; Jan C Koch; Ulrich Koenig; Donat Kögel; Young Ho Koh; Masato Koike; Sepp D Kohlwein; Nur M Kocaturk; Masaaki Komatsu; Jeannette König; Toru Kono; Benjamin T Kopp; Tamas Korcsmaros; Gözde Korkmaz; Viktor I Korolchuk; Mónica Suárez Korsnes; Ali Koskela; Janaiah Kota; Yaichiro Kotake; Monica L Kotler; Yanjun Kou; Michael I Koukourakis; Evangelos Koustas; Attila L Kovacs; Tibor Kovács; Daisuke Koya; Tomohiro Kozako; Claudine Kraft; Dimitri Krainc; Helmut Krämer; Anna D Krasnodembskaya; Carole Kretz-Remy; Guido Kroemer; Nicholas T Ktistakis; Kazuyuki Kuchitsu; Sabine Kuenen; Lars Kuerschner; Thomas Kukar; Ajay Kumar; Ashok Kumar; Deepak Kumar; Dhiraj Kumar; Sharad Kumar; Shinji Kume; Caroline Kumsta; Chanakya N Kundu; Mondira Kundu; Ajaikumar B Kunnumakkara; Lukasz Kurgan; Tatiana G Kutateladze; Ozlem Kutlu; SeongAe Kwak; Ho Jeong Kwon; Taeg Kyu Kwon; Yong Tae Kwon; Irene Kyrmizi; Albert La Spada; Patrick Labonté; Sylvain Ladoire; Ilaria Laface; Frank Lafont; Diane C Lagace; Vikramjit Lahiri; Zhibing Lai; Angela S Laird; Aparna Lakkaraju; Trond Lamark; Sheng-Hui Lan; Ane Landajuela; Darius J R Lane; Jon D Lane; Charles H Lang; Carsten Lange; Ülo Langel; Rupert Langer; Pierre Lapaquette; Jocelyn Laporte; Nicholas F LaRusso; Isabel Lastres-Becker; Wilson Chun Yu Lau; Gordon W Laurie; Sergio Lavandero; Betty Yuen Kwan Law; Helen Ka-Wai Law; Rob Layfield; Weidong Le; Herve Le Stunff; Alexandre Y Leary; Jean-Jacques Lebrun; Lionel Y W Leck; Jean-Philippe Leduc-Gaudet; Changwook Lee; Chung-Pei Lee; Da-Hye Lee; Edward B Lee; Erinna F Lee; Gyun Min Lee; He-Jin Lee; Heung Kyu Lee; Jae Man Lee; Jason S Lee; Jin-A Lee; Joo-Yong Lee; Jun Hee Lee; Michael Lee; Min Goo Lee; Min Jae Lee; Myung-Shik Lee; Sang Yoon Lee; Seung-Jae Lee; Stella Y Lee; Sung Bae Lee; Won Hee Lee; Ying-Ray Lee; Yong-Ho Lee; Youngil Lee; Christophe Lefebvre; Renaud Legouis; Yu L Lei; Yuchen Lei; Sergey Leikin; Gerd Leitinger; Leticia Lemus; Shuilong Leng; Olivia Lenoir; Guido Lenz; Heinz Josef Lenz; Paola Lenzi; Yolanda León; Andréia M Leopoldino; Christoph Leschczyk; Stina Leskelä; Elisabeth Letellier; Chi-Ting Leung; Po Sing Leung; Jeremy S Leventhal; Beth Levine; Patrick A Lewis; Klaus Ley; Bin Li; Da-Qiang Li; Jianming Li; Jing Li; Jiong Li; Ke Li; Liwu Li; Mei Li; Min Li; Min Li; Ming Li; Mingchuan Li; Pin-Lan Li; Ming-Qing Li; Qing Li; Sheng Li; Tiangang Li; Wei Li; Wenming Li; Xue Li; Yi-Ping Li; Yuan Li; Zhiqiang Li; Zhiyong Li; Zhiyuan Li; Jiqin Lian; Chengyu Liang; Qiangrong Liang; Weicheng Liang; Yongheng Liang; YongTian Liang; Guanghong Liao; Lujian Liao; Mingzhi Liao; Yung-Feng Liao; Mariangela Librizzi; Pearl P Y Lie; Mary A Lilly; Hyunjung J Lim; Thania R R Lima; Federica Limana; Chao Lin; Chih-Wen Lin; Dar-Shong Lin; Fu-Cheng Lin; Jiandie D Lin; Kurt M Lin; Kwang-Huei Lin; Liang-Tzung Lin; Pei-Hui Lin; Qiong Lin; Shaofeng Lin; Su-Ju Lin; Wenyu Lin; Xueying Lin; Yao-Xin Lin; Yee-Shin Lin; Rafael Linden; Paula Lindner; Shuo-Chien Ling; Paul Lingor; Amelia K Linnemann; Yih-Cherng Liou; Marta M Lipinski; Saška Lipovšek; Vitor A Lira; Natalia Lisiak; Paloma B Liton; Chao Liu; Ching-Hsuan Liu; Chun-Feng Liu; Cui Hua Liu; Fang Liu; Hao Liu; Hsiao-Sheng Liu; Hua-Feng Liu; Huifang Liu; Jia Liu; Jing Liu; Julia Liu; Leyuan Liu; Longhua Liu; Meilian Liu; Qin Liu; Wei Liu; Wende Liu; Xiao-Hong Liu; Xiaodong Liu; Xingguo Liu; Xu Liu; Xuedong Liu; Yanfen Liu; Yang Liu; Yang Liu; Yueyang Liu; Yule Liu; J Andrew Livingston; Gerard Lizard; Jose M Lizcano; Senka Ljubojevic-Holzer; Matilde E LLeonart; David Llobet-Navàs; Alicia Llorente; Chih Hung Lo; Damián Lobato-Márquez; Qi Long; Yun Chau Long; Ben Loos; Julia A Loos; Manuela G López; Guillermo López-Doménech; José Antonio López-Guerrero; Ana T López-Jiménez; Óscar López-Pérez; Israel López-Valero; Magdalena J Lorenowicz; Mar Lorente; Peter Lorincz; Laura Lossi; Sophie Lotersztajn; Penny E Lovat; Jonathan F Lovell; Alenka Lovy; Péter Lőw; Guang Lu; Haocheng Lu; Jia-Hong Lu; Jin-Jian Lu; Mengji Lu; Shuyan Lu; Alessandro Luciani; John M Lucocq; Paula Ludovico; Micah A Luftig; Morten Luhr; Diego Luis-Ravelo; Julian J Lum; Liany Luna-Dulcey; Anders H Lund; Viktor K Lund; Jan D Lünemann; Patrick Lüningschrör; Honglin Luo; Rongcan Luo; Shouqing Luo; Zhi Luo; Claudio Luparello; Bernhard Lüscher; Luan Luu; Alex Lyakhovich; Konstantin G Lyamzaev; Alf Håkon Lystad; Lyubomyr Lytvynchuk; Alvin C Ma; Changle Ma; Mengxiao Ma; Ning-Fang Ma; Quan-Hong Ma; Xinliang Ma; Yueyun Ma; Zhenyi Ma; Ormond A MacDougald; Fernando Macian; Gustavo C MacIntosh; Jeffrey P MacKeigan; Kay F Macleod; Sandra Maday; Frank Madeo; Muniswamy Madesh; Tobias Madl; Julio Madrigal-Matute; Akiko Maeda; Yasuhiro Maejima; Marta Magarinos; Poornima Mahavadi; Emiliano Maiani; Kenneth Maiese; Panchanan Maiti; Maria Chiara Maiuri; Barbara Majello; Michael B Major; Elena Makareeva; Fayaz Malik; Karthik Mallilankaraman; Walter Malorni; Alina Maloyan; Najiba Mammadova; Gene Chi Wai Man; Federico Manai; Joseph D Mancias; Eva-Maria Mandelkow; Michael A Mandell; Angelo A Manfredi; Masoud H Manjili; Ravi Manjithaya; Patricio Manque; Bella B Manshian; Raquel Manzano; Claudia Manzoni; Kai Mao; Cinzia Marchese; Sandrine Marchetti; Anna Maria Marconi; Fabrizio Marcucci; Stefania Mardente; Olga A Mareninova; Marta Margeta; Muriel Mari; Sara Marinelli; Oliviero Marinelli; Guillermo Mariño; Sofia Mariotto; Richard S Marshall; Mark R Marten; Sascha Martens; Alexandre P J Martin; Katie R Martin; Sara Martin; Shaun Martin; Adrián Martín-Segura; Miguel A Martín-Acebes; Inmaculada Martin-Burriel; Marcos Martin-Rincon; Paloma Martin-Sanz; José A Martina; Wim Martinet; Aitor Martinez; Ana Martinez; Jennifer Martinez; Moises Martinez Velazquez; Nuria Martinez-Lopez; Marta Martinez-Vicente; Daniel O Martins; Joilson O Martins; Waleska K Martins; Tania Martins-Marques; Emanuele Marzetti; Shashank Masaldan; Celine Masclaux-Daubresse; Douglas G Mashek; Valentina Massa; Lourdes Massieu; Glenn R Masson; Laura Masuelli; Anatoliy I Masyuk; Tetyana V Masyuk; Paola Matarrese; Ander Matheu; Satoaki Matoba; Sachiko Matsuzaki; Pamela Mattar; Alessandro Matte; Domenico Mattoscio; José L Mauriz; Mario Mauthe; Caroline Mauvezin; Emanual Maverakis; Paola Maycotte; Johanna Mayer; Gianluigi Mazzoccoli; Cristina Mazzoni; Joseph R Mazzulli; Nami McCarty; Christine McDonald; Mitchell R McGill; Sharon L McKenna; BethAnn McLaughlin; Fionn McLoughlin; Mark A McNiven; Thomas G McWilliams; Fatima Mechta-Grigoriou; Tania Catarina Medeiros; Diego L Medina; Lynn A Megeney; Klara Megyeri; Maryam Mehrpour; Jawahar L Mehta; Alfred J Meijer; Annemarie H Meijer; Jakob Mejlvang; Alicia Meléndez; Annette Melk; Gonen Memisoglu; Alexandrina F Mendes; Delong Meng; Fei Meng; Tian Meng; Rubem Menna-Barreto; Manoj B Menon; Carol Mercer; Anne E Mercier; Jean-Louis Mergny; Adalberto Merighi; Seth D Merkley; Giuseppe Merla; Volker Meske; Ana Cecilia Mestre; Shree Padma Metur; Christian Meyer; Hemmo Meyer; Wenyi Mi; Jeanne Mialet-Perez; Junying Miao; Lucia Micale; Yasuo Miki; Enrico Milan; Małgorzata Milczarek; Dana L Miller; Samuel I Miller; Silke Miller; Steven W Millward; Ira Milosevic; Elena A Minina; Hamed Mirzaei; Hamid Reza Mirzaei; Mehdi Mirzaei; Amit Mishra; Nandita Mishra; Paras Kumar Mishra; Maja Misirkic Marjanovic; Roberta Misasi; Amit Misra; Gabriella Misso; Claire Mitchell; Geraldine Mitou; Tetsuji Miura; Shigeki Miyamoto; Makoto Miyazaki; Mitsunori Miyazaki; Taiga Miyazaki; Keisuke Miyazawa; Noboru Mizushima; Trine H Mogensen; Baharia Mograbi; Reza Mohammadinejad; Yasir Mohamud; Abhishek Mohanty; Sipra Mohapatra; Torsten Möhlmann; Asif Mohmmed; Anna Moles; Kelle H Moley; Maurizio Molinari; Vincenzo Mollace; Andreas Buch Møller; Bertrand Mollereau; Faustino Mollinedo; Costanza Montagna; Mervyn J Monteiro; Andrea Montella; L Ruth Montes; Barbara Montico; Vinod K Mony; Giacomo Monzio Compagnoni; Michael N Moore; Mohammad A Moosavi; Ana L Mora; Marina Mora; David Morales-Alamo; Rosario Moratalla; Paula I Moreira; Elena Morelli; Sandra Moreno; Daniel Moreno-Blas; Viviana Moresi; Benjamin Morga; Alwena H Morgan; Fabrice Morin; Hideaki Morishita; Orson L Moritz; Mariko Moriyama; Yuji Moriyasu; Manuela Morleo; Eugenia Morselli; Jose F Moruno-Manchon; Jorge Moscat; Serge Mostowy; Elisa Motori; Andrea Felinto Moura; Naima Moustaid-Moussa; Maria Mrakovcic; Gabriel Muciño-Hernández; Anupam Mukherjee; Subhadip Mukhopadhyay; Jean M Mulcahy Levy; Victoriano Mulero; 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Per Nilsson; Shunbin Ning; Rituraj Niranjan; Hiroshi Nishimune; Mireia Niso-Santano; Ralph A Nixon; Annalisa Nobili; Clevio Nobrega; Takeshi Noda; Uxía Nogueira-Recalde; Trevor M Nolan; Ivan Nombela; Ivana Novak; Beatriz Novoa; Takashi Nozawa; Nobuyuki Nukina; Carmen Nussbaum-Krammer; Jesper Nylandsted; Tracey R O'Donovan; Seónadh M O'Leary; Eyleen J O'Rourke; Mary P O'Sullivan; Timothy E O'Sullivan; Salvatore Oddo; Ina Oehme; Michinaga Ogawa; Eric Ogier-Denis; Margret H Ogmundsdottir; Besim Ogretmen; Goo Taeg Oh; Seon-Hee Oh; Young J Oh; Takashi Ohama; Yohei Ohashi; Masaki Ohmuraya; Vasileios Oikonomou; Rani Ojha; Koji Okamoto; Hitoshi Okazawa; Masahide Oku; Sara Oliván; Jorge M A Oliveira; Michael Ollmann; James A Olzmann; Shakib Omari; M Bishr Omary; Gizem Önal; Martin Ondrej; Sang-Bing Ong; Sang-Ging Ong; Anna Onnis; Juan A Orellana; Sara Orellana-Muñoz; Maria Del Mar Ortega-Villaizan; Xilma R Ortiz-Gonzalez; Elena Ortona; Heinz D Osiewacz; Abdel-Hamid K Osman; Rosario Osta; Marisa S Otegui; Kinya Otsu; Christiane Ott; Luisa Ottobrini; Jing-Hsiung James Ou; Tiago F Outeiro; Inger Oynebraten; Melek Ozturk; Gilles Pagès; Susanta Pahari; Marta Pajares; Utpal B Pajvani; Rituraj Pal; Simona Paladino; Nicolas Pallet; Michela Palmieri; Giuseppe Palmisano; Camilla Palumbo; Francesco Pampaloni; Lifeng Pan; Qingjun Pan; Wenliang Pan; Xin Pan; Ganna Panasyuk; Rahul Pandey; Udai B Pandey; Vrajesh Pandya; Francesco Paneni; Shirley Y Pang; Elisa Panzarini; Daniela L Papademetrio; Elena Papaleo; Daniel Papinski; Diana Papp; Eun Chan Park; Hwan Tae Park; Ji-Man Park; Jong-In Park; Joon Tae Park; Junsoo Park; Sang Chul Park; Sang-Youel Park; Abraham H Parola; Jan B Parys; Adrien Pasquier; Benoit Pasquier; João F Passos; Nunzia Pastore; Hemal H Patel; Daniel Patschan; Sophie Pattingre; Gustavo Pedraza-Alva; Jose Pedraza-Chaverri; Zully Pedrozo; Gang Pei; Jianming Pei; Hadas Peled-Zehavi; Joaquín M Pellegrini; Joffrey Pelletier; Miguel A Peñalva; Di Peng; Ying Peng; Fabio Penna; Maria Pennuto; 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Siegfried Reipert; Rokeya Sultana Rekha; Hongmei Ren; Jun Ren; Weichao Ren; Tristan Renault; Giorgia Renga; Karen Reue; Kim Rewitz; Bruna Ribeiro de Andrade Ramos; S Amer Riazuddin; Teresa M Ribeiro-Rodrigues; Jean-Ehrland Ricci; Romeo Ricci; Victoria Riccio; Des R Richardson; Yasuko Rikihisa; Makarand V Risbud; Ruth M Risueño; Konstantinos Ritis; Salvatore Rizza; Rosario Rizzuto; Helen C Roberts; Luke D Roberts; Katherine J Robinson; Maria Carmela Roccheri; Stephane Rocchi; George G Rodney; Tiago Rodrigues; Vagner Ramon Rodrigues Silva; Amaia Rodriguez; Ruth Rodriguez-Barrueco; Nieves Rodriguez-Henche; Humberto Rodriguez-Rocha; Jeroen Roelofs; Robert S Rogers; Vladimir V Rogov; Ana I Rojo; Krzysztof Rolka; Vanina Romanello; Luigina Romani; Alessandra Romano; Patricia S Romano; David Romeo-Guitart; Luis C Romero; Montserrat Romero; Joseph C Roney; Christopher Rongo; Sante Roperto; Mathias T Rosenfeldt; Philip Rosenstiel; Anne G Rosenwald; Kevin A Roth; Lynn Roth; Steven Roth; Kasper M A Rouschop; Benoit D Roussel; Sophie Roux; Patrizia Rovere-Querini; Ajit Roy; Aurore Rozieres; Diego Ruano; David C Rubinsztein; Maria P Rubtsova; Klaus Ruckdeschel; Christoph Ruckenstuhl; Emil Rudolf; Rüdiger Rudolf; Alessandra Ruggieri; Avnika Ashok Ruparelia; Paola Rusmini; Ryan R Russell; Gian Luigi Russo; Maria Russo; Rossella Russo; Oxana O Ryabaya; Kevin M Ryan; Kwon-Yul Ryu; Maria Sabater-Arcis; Ulka Sachdev; Michael Sacher; Carsten Sachse; Abhishek Sadhu; Junichi Sadoshima; Nathaniel Safren; Paul Saftig; Antonia P Sagona; Gaurav Sahay; Amirhossein Sahebkar; Mustafa Sahin; Ozgur Sahin; Sumit Sahni; Nayuta Saito; Shigeru Saito; Tsunenori Saito; Ryohei Sakai; Yasuyoshi Sakai; Jun-Ichi Sakamaki; Kalle Saksela; Gloria Salazar; Anna Salazar-Degracia; Ghasem H Salekdeh; Ashok K Saluja; Belém Sampaio-Marques; Maria Cecilia Sanchez; Jose A Sanchez-Alcazar; Victoria Sanchez-Vera; Vanessa Sancho-Shimizu; J Thomas Sanderson; Marco Sandri; Stefano Santaguida; Laura Santambrogio; Magda M Santana; Giorgio Santoni; 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Laura Segatori; Nava Segev; Per O Seglen; Iban Seiliez; Ekihiro Seki; Scott B Selleck; Frank W Sellke; Joshua T Selsby; Michael Sendtner; Serif Senturk; Elena Seranova; Consolato Sergi; Ruth Serra-Moreno; Hiromi Sesaki; Carmine Settembre; Subba Rao Gangi Setty; Gianluca Sgarbi; Ou Sha; John J Shacka; Javeed A Shah; Dantong Shang; Changshun Shao; Feng Shao; Soroush Sharbati; Lisa M Sharkey; Dipali Sharma; Gaurav Sharma; Kulbhushan Sharma; Pawan Sharma; Surendra Sharma; Han-Ming Shen; Hongtao Shen; Jiangang Shen; Ming Shen; Weili Shen; Zheni Shen; Rui Sheng; Zhi Sheng; Zu-Hang Sheng; Jianjian Shi; Xiaobing Shi; Ying-Hong Shi; Kahori Shiba-Fukushima; Jeng-Jer Shieh; Yohta Shimada; Shigeomi Shimizu; Makoto Shimozawa; Takahiro Shintani; Christopher J Shoemaker; Shahla Shojaei; Ikuo Shoji; Bhupendra V Shravage; Viji Shridhar; Chih-Wen Shu; Hong-Bing Shu; Ke Shui; Arvind K Shukla; Timothy E Shutt; Valentina Sica; Aleem Siddiqui; Amanda Sierra; Virginia Sierra-Torre; Santiago Signorelli; Payel Sil; 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Motomasa Tanaka; Daolin Tang; Jingfeng Tang; Tie-Shan Tang; Isei Tanida; Zhipeng Tao; Mohammed Taouis; Lars Tatenhorst; Nektarios Tavernarakis; Allen Taylor; Gregory A Taylor; Joan M Taylor; Elena Tchetina; Andrew R Tee; Irmgard Tegeder; David Teis; Natercia Teixeira; Fatima Teixeira-Clerc; Kumsal A Tekirdag; Tewin Tencomnao; Sandra Tenreiro; Alexei V Tepikin; Pilar S Testillano; Gianluca Tettamanti; Pierre-Louis Tharaux; Kathrin Thedieck; Arvind A Thekkinghat; Stefano Thellung; Josephine W Thinwa; V P Thirumalaikumar; Sufi Mary Thomas; Paul G Thomes; Andrew Thorburn; Lipi Thukral; Thomas Thum; Michael Thumm; Ling Tian; Ales Tichy; Andreas Till; Vincent Timmerman; Vladimir I Titorenko; Sokol V Todi; Krassimira Todorova; Janne M Toivonen; Luana Tomaipitinca; Dhanendra Tomar; Cristina Tomas-Zapico; Sergej Tomić; Benjamin Chun-Kit Tong; Chao Tong; Xin Tong; Sharon A Tooze; Maria L Torgersen; Satoru Torii; Liliana Torres-López; Alicia Torriglia; Christina G Towers; Roberto Towns; Shinya Toyokuni; Vladimir Trajkovic; Donatella Tramontano; Quynh-Giao Tran; Leonardo H Travassos; Charles B Trelford; Shirley Tremel; Ioannis P Trougakos; Betty P Tsao; Mario P Tschan; Hung-Fat Tse; Tak Fu Tse; Hitoshi Tsugawa; Andrey S Tsvetkov; David A Tumbarello; Yasin Tumtas; María J Tuñón; Sandra Turcotte; Boris Turk; Vito Turk; Bradley J Turner; Richard I Tuxworth; Jessica K Tyler; Elena V Tyutereva; Yasuo Uchiyama; Aslihan Ugun-Klusek; Holm H Uhlig; Marzena Ułamek-Kozioł; Ilya V Ulasov; Midori Umekawa; Christian Ungermann; Rei Unno; Sylvie Urbe; Elisabet Uribe-Carretero; Suayib Üstün; Vladimir N Uversky; Thomas Vaccari; Maria I Vaccaro; Björn F Vahsen; Helin Vakifahmetoglu-Norberg; Rut Valdor; Maria J Valente; Ayelén Valko; Richard B Vallee; Angela M Valverde; Greet Van den Berghe; Stijn van der Veen; Luc Van Kaer; Jorg van Loosdregt; Sjoerd J L van Wijk; Wim Vandenberghe; Ilse Vanhorebeek; Marcos A Vannier-Santos; Nicola Vannini; M Cristina Vanrell; Chiara Vantaggiato; Gabriele Varano; Isabel Varela-Nieto; 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Bo Wang; Chao-Yung Wang; Chen Wang; Chenran Wang; Chenwei Wang; Cun-Yu Wang; Dong Wang; Fangyang Wang; Feng Wang; Fengming Wang; Guansong Wang; Han Wang; Hao Wang; Hexiang Wang; Hong-Gang Wang; Jianrong Wang; Jigang Wang; Jiou Wang; Jundong Wang; Kui Wang; Lianrong Wang; Liming Wang; Maggie Haitian Wang; Meiqing Wang; Nanbu Wang; Pengwei Wang; Peipei Wang; Ping Wang; Ping Wang; Qing Jun Wang; Qing Wang; Qing Kenneth Wang; Qiong A Wang; Wen-Tao Wang; Wuyang Wang; Xinnan Wang; Xuejun Wang; Yan Wang; Yanchang Wang; Yanzhuang Wang; Yen-Yun Wang; Yihua Wang; Yipeng Wang; Yu Wang; Yuqi Wang; Zhe Wang; Zhenyu Wang; Zhouguang Wang; Gary Warnes; Verena Warnsmann; Hirotaka Watada; Eizo Watanabe; Maxinne Watchon; Anna Wawrzyńska; Timothy E Weaver; Grzegorz Wegrzyn; Ann M Wehman; Huafeng Wei; Lei Wei; Taotao Wei; Yongjie Wei; Oliver H Weiergräber; Conrad C Weihl; Günther Weindl; Ralf Weiskirchen; Alan Wells; Runxia H Wen; Xin Wen; Antonia Werner; Beatrice Weykopf; Sally P Wheatley; J Lindsay Whitton; Alexander J Whitworth; Katarzyna Wiktorska; Manon E Wildenberg; Tom Wileman; Simon Wilkinson; Dieter Willbold; Brett Williams; Robin S B Williams; Roger L Williams; Peter R Williamson; Richard A Wilson; Beate Winner; Nathaniel J Winsor; Steven S Witkin; Harald Wodrich; Ute Woehlbier; Thomas Wollert; Esther Wong; Jack Ho Wong; Richard W Wong; Vincent Kam Wai Wong; W Wei-Lynn Wong; An-Guo Wu; Chengbiao Wu; Jian Wu; Junfang Wu; Kenneth K Wu; Min Wu; Shan-Ying Wu; Shengzhou Wu; Shu-Yan Wu; Shufang Wu; William K K Wu; Xiaohong Wu; Xiaoqing Wu; Yao-Wen Wu; Yihua Wu; Ramnik J Xavier; Hongguang Xia; Lixin Xia; Zhengyuan Xia; Ge Xiang; Jin Xiang; Mingliang Xiang; Wei Xiang; Bin Xiao; Guozhi Xiao; Hengyi Xiao; Hong-Tao Xiao; Jian Xiao; Lan Xiao; Shi Xiao; Yin Xiao; Baoming Xie; Chuan-Ming Xie; Min Xie; Yuxiang Xie; Zhiping Xie; Zhonglin Xie; Maria Xilouri; Congfeng Xu; En Xu; Haoxing Xu; Jing Xu; JinRong Xu; Liang Xu; Wen Wen Xu; Xiulong Xu; Yu Xue; Sokhna M S Yakhine-Diop; Masamitsu Yamaguchi; Osamu Yamaguchi; Ai Yamamoto; Shunhei Yamashina; Shengmin Yan; Shian-Jang Yan; Zhen Yan; Yasuo Yanagi; Chuanbin Yang; Dun-Sheng Yang; Huan Yang; Huang-Tian Yang; Hui Yang; Jin-Ming Yang; Jing Yang; Jingyu Yang; Ling Yang; Liu Yang; Ming Yang; Pei-Ming Yang; Qian Yang; Seungwon Yang; Shu Yang; Shun-Fa Yang; Wannian Yang; Wei Yuan Yang; Xiaoyong Yang; Xuesong Yang; Yi Yang; Ying Yang; Honghong Yao; Shenggen Yao; Xiaoqiang Yao; Yong-Gang Yao; Yong-Ming Yao; Takahiro Yasui; Meysam Yazdankhah; Paul M Yen; Cong Yi; Xiao-Ming Yin; Yanhai Yin; Zhangyuan Yin; Ziyi Yin; Meidan Ying; Zheng Ying; Calvin K Yip; Stephanie Pei Tung Yiu; Young H Yoo; Kiyotsugu Yoshida; Saori R Yoshii; Tamotsu Yoshimori; Bahman Yousefi; Boxuan Yu; Haiyang Yu; Jun Yu; Jun Yu; Li Yu; Ming-Lung Yu; Seong-Woon Yu; Victor C Yu; W Haung Yu; Zhengping Yu; Zhou Yu; Junying Yuan; Ling-Qing Yuan; Shilin Yuan; Shyng-Shiou F Yuan; Yanggang Yuan; Zengqiang Yuan; Jianbo Yue; Zhenyu Yue; Jeanho Yun; Raymond L Yung; David N Zacks; Gabriele Zaffagnini; Vanessa O Zambelli; Isabella Zanella; Qun S Zang; Sara Zanivan; Silvia Zappavigna; Pilar Zaragoza; Konstantinos S Zarbalis; Amir Zarebkohan; Amira Zarrouk; Scott O Zeitlin; Jialiu Zeng; Ju-Deng Zeng; Eva Žerovnik; Lixuan Zhan; Bin Zhang; Donna D Zhang; Hanlin Zhang; Hong Zhang; Hong Zhang; Honghe Zhang; Huafeng Zhang; Huaye Zhang; Hui Zhang; Hui-Ling Zhang; Jianbin Zhang; Jianhua Zhang; Jing-Pu Zhang; Kalin Y B Zhang; Leshuai W Zhang; Lin Zhang; Lisheng Zhang; Lu Zhang; Luoying Zhang; Menghuan Zhang; Peng Zhang; Sheng Zhang; Wei Zhang; Xiangnan Zhang; Xiao-Wei Zhang; Xiaolei Zhang; Xiaoyan Zhang; Xin Zhang; Xinxin Zhang; Xu Dong Zhang; Yang Zhang; Yanjin Zhang; Yi Zhang; Ying-Dong Zhang; Yingmei Zhang; Yuan-Yuan Zhang; Yuchen Zhang; Zhe Zhang; Zhengguang Zhang; Zhibing Zhang; Zhihai Zhang; Zhiyong Zhang; Zili Zhang; Haobin Zhao; Lei Zhao; Shuang Zhao; Tongbiao Zhao; Xiao-Fan Zhao; Ying Zhao; Yongchao Zhao; Yongliang Zhao; Yuting Zhao; Guoping Zheng; Kai Zheng; Ling Zheng; Shizhong Zheng; Xi-Long Zheng; Yi Zheng; Zu-Guo Zheng; Boris Zhivotovsky; Qing Zhong; Ao Zhou; Ben Zhou; Cefan Zhou; Gang Zhou; Hao Zhou; Hong Zhou; Hongbo Zhou; Jie Zhou; Jing Zhou; Jing Zhou; Jiyong Zhou; Kailiang Zhou; Rongjia Zhou; Xu-Jie Zhou; Yanshuang Zhou; Yinghong Zhou; Yubin Zhou; Zheng-Yu Zhou; Zhou Zhou; Binglin Zhu; Changlian Zhu; Guo-Qing Zhu; Haining Zhu; Hongxin Zhu; Hua Zhu; Wei-Guo Zhu; Yanping Zhu; Yushan Zhu; Haixia Zhuang; Xiaohong Zhuang; Katarzyna Zientara-Rytter; Christine M Zimmermann; Elena Ziviani; Teresa Zoladek; Wei-Xing Zong; Dmitry B Zorov; Antonio Zorzano; Weiping Zou; Zhen Zou; Zhengzhi Zou; Steven Zuryn; Werner Zwerschke; Beate Brand-Saberi; X Charlie Dong; Chandra Shekar Kenchappa; Zuguo Li; Yong Lin; Shigeru Oshima; Yueguang Rong; Judith C Sluimer; Christina L Stallings; Chun-Kit Tong
Journal:  Autophagy       Date:  2021-02-08       Impact factor: 13.391

4.  Design and synthesis of novel phenylaminopyrimidines with antiproliferative activity against colorectal cancer.

Authors:  Hanan A Henidi; Ahmed M Al-Abd; Fahad A Al-Abbasi; Hawazen A BinMahfouz; Ibrahim M El-Deeb
Journal:  RSC Adv       Date:  2019-07-11       Impact factor: 4.036

5.  Cattleianal and Cattleianone: Two New Meroterpenoids from Psidium cattleianum Leaves and Their Selective Antiproliferative Action against Human Carcinoma Cells.

Authors:  Engy A Mahrous; Ahmed M Al-Abd; Maha M Salama; Magda M Fathy; Fathy M Soliman; Fatema R Saber
Journal:  Molecules       Date:  2021-05-13       Impact factor: 4.411

6.  Thymoquinone anticancer activity is enhanced when combined with royal jelly in human breast cancer.

Authors:  Maya M Moubarak; Nour Chanouha; Najwa Abou Ibrahim; Hala Khalife; Hala Gali-Muhtasib
Journal:  World J Clin Oncol       Date:  2021-05-24

Review 7.  Recent Findings on Thymoquinone and Its Applications as a Nanocarrier for the Treatment of Cancer and Rheumatoid Arthritis.

Authors:  Ravi Raj Pal; Vasundhara Rajpal; Priya Singh; Shubhini A Saraf
Journal:  Pharmaceutics       Date:  2021-05-22       Impact factor: 6.321

Review 8.  Natural and herbal compounds targeting breast cancer, a review based on cancer stem cells.

Authors:  Azam Bozorgi; Saber Khazaei; Abbasali Khademi; Mozafar Khazaei
Journal:  Iran J Basic Med Sci       Date:  2020-08       Impact factor: 2.699

9.  Thymoquinone Enhances Paclitaxel Anti-Breast Cancer Activity via Inhibiting Tumor-Associated Stem Cells Despite Apparent Mathematical Antagonism.

Authors:  Hanan A Bashmail; Aliaa A Alamoudi; Abdulwahab Noorwali; Gehan A Hegazy; Ghada M Ajabnoor; Ahmed M Al-Abd
Journal:  Molecules       Date:  2020-01-20       Impact factor: 4.411

Review 10.  Thymoquinone (2-Isoprpyl-5-methyl-1, 4-benzoquinone) as a chemopreventive/anticancer agent: Chemistry and biological effects.

Authors:  Anas Ahmad; Rakesh Kumar Mishra; Akshay Vyawahare; Ajay Kumar; Muneeb U Rehman; Wajhul Qamar; Abdul Quaiyoom Khan; Rehan Khan
Journal:  Saudi Pharm J       Date:  2019-09-25       Impact factor: 4.330

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